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This study addresses the problem of joint optimization of both inventory and production processes for stochastic customer orders in the dynamic setting. Customer orders arrive at the inventory department dynamically, and each order contains multiple product types with random workloads. Necessary materials need to be drawn from inventory and later be utilized in the production department. A customer...
With rapid urbanization all over the world, the traffic congestion problem is becoming increasing severe. In particular, many metropolitan areas suffer from the problem of network gridlock in peak hours, which is mainly attributed to the limited street space as well as inefficient intersection signal control to cope the excessive demand. In light of this, in this paper we propose a model to describe...
In the next generation (5G) wireless networks, device-to-device (D2D) communication is an important technology to improve frequency efficiency and provide proximity service. In this paper, we focus on a scenario where spare frequency resources in a cellular network are exploited by D2D users to provide local service. Considering the fact that the channel quality experienced by an end user varies from...
Along with emergency of the Yangtze River economic belt development strategy, Chongqing and Luzhou, Yibin port group as materials distributed in the upper reaches of the Yangtze River important nodes will play a powerful shipping hub and port, forming new engine of economic growth in Western China. From the data of Chongqing — Luzhou — Yibin port group cargo throughput, this paper aims to predict...
In view of the actual situation in the port of Tianjin, to overcome the traditional BP neural network method in the prediction model, such as low efficiency and poor accuracy of faults, the paper puts forward a kind of prediction model based on principal component analysis (PCA) and BP neural network. In this approach, use PCA to reduce the dimension of the original data, so as to achieve the purpose...
In this paper artificial neural network (ANN) based cascaded learning for stochastic resonance (SR) noise driven spectrum sensing is proposed for cognitive radio (CR). In the first phase of a two-stage cascaded learning system Backpropagation gradient ascent learning is used to estimate optimal noise standard deviation which has an outstanding performance improvement for the discovery of the existence...
According to the survey in 2015, the resources of IPv4 was completely finished. Therefore, every organization need to transit IPv6 technology immediately. [1] In this paper, we made research of performance analysis on IPv6 transition technologies, mathematical modelling and proposed transition method.
This paper provides definite results about the access delay of slotted Aloha with exponential back-off, an infinite number of stages, and queues in saturation. The analysis is performed leveraging a method recently introduced, which indicates a maximum throughput equal to 0.370 with binary back-off, and 0.4303 when the exponential back-off base is optimized, and using a delay offset equal to 2. Here...
Buffer management strategies in various networks have been extensively studied in the literature. However, little work has considered the condition in which the traffic exhibits inter-packet dependency, a common occurrence with many applications. This paper concentrates on the goodput maximization problem for streaming data with packet dependencies. A novel optimization model is put forward to describe...
The growth of customers in 3G network has forced the operators to always optimize their network performances. One of the most concerned parameters to indicate the quality of network is the interference area. Especially in 3G network, this parameter is directly influenced by the number of users. Hence, it would be better if the operators can predict the areas experiencing interference before getting...
Data networks are experiencing an unprecedented growth in traffic resulting in a multitude of challenges including high network congestion, latency, and packet loss rates. These challenges greatly affect the performance of the network and have a drastic impact on the Quality of Service (QoS) for various applications. In order to reduce network congestion and in turn, maintain the desired QoS, an adaptive...
This paper studies the problem of optimal power allocation towards maximizing the throughput of point-to-point wireless communication systems with energy harvesting. A novel energy-transferring approach is proposed to analyze the throughput maximization problem with causality constraints, in which we study the transfer energy rather than the water level widely used in the existing literature. The...
We consider online power control for an energy harvesting system with random i.i.d. energy arrivals and a finite size battery. We propose a simple online power control policy for this channel that requires minimal information regarding the distribution of the energy arrivals and prove that it is universally near-optimal for all parameter values. In particular, the policy depends on the distribution...
Multicast services need to satisfy all mobile devices even under very bad channel conditions. However, the method for accommodating this will result in the throughput of the service being determined and limited by the channel state of the mobile device with the worst channel conditions. In this way, the capacity of mobile devices under a good channel state is determined based on the capacity of the...
Data Pendulum [1] designates the packet backlog switch from one side of a bottleneck link to the other in presence of two antiparallel TCP connections. This paper completes the explanation of the Data Pendulum dynamics by elucidating on which side the backlog grows, while identifying the relevant parameters in the process. We also explain why and when the data backlog may switch sides without any...
In LTE networks, even if two communicating UEs are closed enough, the traffic must go around core network. If Device-to-Device (D2D) communications used, two nearby UEs can directly exchange data, rather than passing core network to reduce loading of core network. However, D2D communications are not always gaining benefit. This paper proposes two mechanisms, namely Capacity-based scheme and Delay-based...
Online compression of I/O-data streams in general purpose computing will enhance the effective I/O bandwidth of processors, the bandwidth of the computer network as well as the storage capacity and the read/write performance of the storage. In this paper, a self-adaptive dynamic partial reconfigurable architecture for the online compression of data streams is introduced. The proposed architecture...
Recent advances in Unmanned Aerial Vehicles (UAVs) have enabled a myriad of new applications in many different domains from personal entertainment to process and infrastructure online monitoring in large industrial sites, among other. Our work focuses on how one can use several small UAVs collaboratively to provide extended reach to an online video monitoring system. We demonstrate how a TDMA overlay...
Résumé — Inter-cell interference is a major issue in OFDMA networks, due to the increasing density of Low Power Nodes (LPN) used to offload the macro base stations. Coordination between these nodes also called Coordination MultiPoint (CoMP), is identified as a promising solution to improve the signal quality and the achievable throughput while ensuring spectral efficiency over the network. Joint Transmission...
Equipment productivity in semiconductor manufacturing has been becoming one of the major topics due to the high equipment price. To calculate the productivity based on the running logs is easier and more precise. However, the engineers may often be assigned to estimate the productivity of the equipment in the design phase for making the investment decision or predicting the project benefit. In such...
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